Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine

• Published in: IEEE access Vol. 8; pp. 86745 - 86752
• Main Authors: Chui, Kwok Tai, Liu, Ryan Wen, Zhao, Mingbo, De Pablos, Patricia Ordonez
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Datasets; Deep learning; deep support vector machine; Education; Gallium nitride; Generative adversarial network; Generative adversarial networks; Kernel; Kernel functions; Knowledge management; Learning; Machine learning; Performance enhancement; Performance prediction; Polynomials; Positive feedback; Prediction models; Predictive models; Radial basis function; Sensitivity; Students; students’ academic performance; Support vector machines; supportive learning; Tutoring

It has been witnessed that supportive learning has played a crucial role in educational quality enhancement. School and family tutoring offer personalized help and provide positive feedback on students' learning. Predicting students' performance is of much interest which reflects their und...